Advanced Computer Vision Course
Dive deep into advanced computer vision techniques tailored for practical defect detection in PCBs and beyond. This course equips you with essential knowledge on data preparation, model architecture design, robust training methods, seamless deployment strategies, real-time monitoring, and drift detection to create scalable, production-grade vision systems that perform reliably in dynamic tech settings across various environments.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain skills to tackle PCB defect detection challenges, analyse data, and build strong detection and segmentation models. Master dataset preparation and enhancement, fine-tune losses and metrics, and set up dependable training, testing, and deployment systems with monitoring, drift detection, dashboards, and ongoing enhancements for reliable, top-notch production models.
Elevify advantages
Develop skills
- Monitor production CV systems to quickly spot drift, anomalies, and emerging defect types.
- Conduct robust training by adjusting hyperparameters, correcting noisy labels, and rapidly improving mAP.
- Optimise high-speed inference through latency reduction, batch processing, and deployments on edge or server setups.
- Implement practical MLOps including testing, CI/CD pipelines, model registries, and secure rollouts.
- Build complete PCB defect detection pipelines covering data prep, defect segmentation, and JSON API integration.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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